Spastic Cerebral Palsy is the most common type of Cerebral Palsy (CP) that affects muscle coordination and control. Using Radiofrequency Ablation (RFA) to target the motor branches of the median and ulnar nerve may provide an additional treatment to Botulinum Toxin for spasticity in the hand. However, there are a limited number of studies that report the use of RFA in treating upper-limb spasticity. This prompts the need to establish a simulation model that has been tested against physical phantom to help determine the efficacy of RFA as a treatment for spasticity. In this study, a 3D COMSOL Multiphysics model of a commercial RF probe was validated against a Thermochromic Liquid Crystal (TLC) homogeneous gel phantom. The results of the COMSOL model were compared to the TLC phantom in terms of temperature (0.42 ± 1.06°C for the TLC high temperature range and -1.90 ± 0.88°C for the TLC low temperature range), lesion shape (14.5 ± 5.0%) and lesion size (0.18 ± 0.06 mm). These results show that COMSOL Multiphysics may be feasible as a tool to characterise RF lesions if the reported errors are accounted for. Further work is required to develop a more complex COMSOL model that incorporates different tissue aspects. However, this is a first step to establishing a validated COMSOL model of a RF probe in homogeneous muscle tissue.
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http://dx.doi.org/10.1109/EMBC.2019.8856962 | DOI Listing |
Sensors (Basel)
December 2024
College of Automation & College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.
The design and study of pulsed eddy current sensors for detecting surface defects in small-diameter rods are highly significant. Accurate detection and identification of surface defects in small-diameter rods may be attained by the ongoing optimization of sensor design and enhancement of detection technologies. This article presents the construction of a non-coaxial differential eddy current sensor (Tx-Rx sensor) and examines the detection of surface defects in a small diameter bar.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Electrical and Computer Engineering, Bucknell University, Lewisburg, PA 17837, USA.
Micropillar array electrodes offer several advantages, such as enhanced mass transport, lower detection limits, and the potential for miniaturization, making them instrumental in the design and fabrication of electrochemical biosensors. The performance of these biosensors is influenced by electrode geometry, including parameters like shape and height, which affect surface area and overall sensitivity. In this study, we designed a microfluidic electrochemical biosensor featuring micropillar array electrodes, modeled in COMSOL Multiphysics.
View Article and Find Full Text PDFMicromachines (Basel)
December 2024
Marine Engineering College, Dalian Maritime University, Dalian 116026, China.
The cleanliness of lubricating oil plays a key role in determining the operational health of mechanical systems, serving as a critical metric that delineates the extent of equipment wear. In this study, we present a magnetic-core-type planar coil particle detection sensor. The detection accuracy and detection limit are improved by optimizing the magnetic field inside the sensor.
View Article and Find Full Text PDFMicromachines (Basel)
December 2024
Department of Mechanical Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
The placenta plays a critical role in nutrient and oxygen exchange during pregnancy, yet the effects of medicinal drugs on this selective barrier remain poorly understood. To overcome this, this study presents a cost-effective bioimpedance spectroscopy (BIS) system to assess tight junction integrity and monolayer formation in BeWo b30 cells, a widely used model of the multinucleated maternal-fetal exchange surface of the placental barrier. Cells were cultured on collagen-coated porous membranes and treated with forskolin to induce controlled syncytialization.
View Article and Find Full Text PDFRev Sci Instrum
January 2025
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210000, China.
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